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EEG-based brain-computer interface for automating home appliances

Journal Article


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Abstract


  • An EEG-based brain-computer system for

    automating home appliances is proposed in this study.

    Brain-computer interface (BCI) system provides direct

    pathway between human brain and external computing

    resources or external devices. The system translates thought

    into action without using muscles through a number of

    electrodes attached to the user’s scalp. The BCI technology

    can be used by disabled people to improve their

    independence and maximize their capabilities at home. In

    this paper, a novel BCI system was developed to control

    home appliances from a dedicated Graphical User Interface

    (GUI). The system is structured with six units: EMOTIV

    EPOC headset, personal computer, Flyport module, quad

    band GSM/GPRS communication module, LinkSprite

    JPEG Colour camera, and PIC-P40 board. EMOTIV EPOC

    headset detects and records neuronal electrical activities

    that reflect user’s intent from different locations on the

    scalp. Those activities are then sent to the computer to

    extract specific signal features. Those features are then

    translated into commands to operate all appliances at home.

    The proposed system has been implemented, constructed,

    and tested. Experimental results demonstrates the feasibility

    of our proposed BCI system in controlling home appliances

    based on the user’s physiological states.

Publication Date


  • 2014

Citation


  • A. N. Alshbatat, P. J. Vial, P. Premaratne & L. C. Tran, "EEG-based brain-computer interface for automating home appliances," Journal of Computers, vol. 9, (9) pp. 2159-2166, 2014.

Ro Full-text Url


  • http://ro.uow.edu.au/cgi/viewcontent.cgi?article=5008&context=eispapers

Ro Metadata Url


  • http://ro.uow.edu.au/eispapers/3989

Number Of Pages


  • 7

Start Page


  • 2159

End Page


  • 2166

Volume


  • 9

Issue


  • 9

Place Of Publication


  • Finland

Abstract


  • An EEG-based brain-computer system for

    automating home appliances is proposed in this study.

    Brain-computer interface (BCI) system provides direct

    pathway between human brain and external computing

    resources or external devices. The system translates thought

    into action without using muscles through a number of

    electrodes attached to the user’s scalp. The BCI technology

    can be used by disabled people to improve their

    independence and maximize their capabilities at home. In

    this paper, a novel BCI system was developed to control

    home appliances from a dedicated Graphical User Interface

    (GUI). The system is structured with six units: EMOTIV

    EPOC headset, personal computer, Flyport module, quad

    band GSM/GPRS communication module, LinkSprite

    JPEG Colour camera, and PIC-P40 board. EMOTIV EPOC

    headset detects and records neuronal electrical activities

    that reflect user’s intent from different locations on the

    scalp. Those activities are then sent to the computer to

    extract specific signal features. Those features are then

    translated into commands to operate all appliances at home.

    The proposed system has been implemented, constructed,

    and tested. Experimental results demonstrates the feasibility

    of our proposed BCI system in controlling home appliances

    based on the user’s physiological states.

Publication Date


  • 2014

Citation


  • A. N. Alshbatat, P. J. Vial, P. Premaratne & L. C. Tran, "EEG-based brain-computer interface for automating home appliances," Journal of Computers, vol. 9, (9) pp. 2159-2166, 2014.

Ro Full-text Url


  • http://ro.uow.edu.au/cgi/viewcontent.cgi?article=5008&context=eispapers

Ro Metadata Url


  • http://ro.uow.edu.au/eispapers/3989

Number Of Pages


  • 7

Start Page


  • 2159

End Page


  • 2166

Volume


  • 9

Issue


  • 9

Place Of Publication


  • Finland